In this interactive workshop, Victoria Stodden (University of Southern California) invites the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled. The goal is to formulate a draft set of recommendations for accelerating research, focusing on shared and open workflows and reproducibility of results. We will workshop a "reproducible pipeline" with either real examples of the work you are currently doing, or prototype examples. We will identify reproducibility barriers you are facing and then 1) validate or repudiate the ideas from the plenary talk and 2) use this as a springboard to formulate a set of recommendations emerging from the workshop.

The workshops will build on ideas that will be introduced during the plenary talk by Victoria Stodden on January 20^th, but the events will be stand-alone - if you can't attend the talk, you will still be able to participate in the workshop.

Victoria Stodden is Associate Professor in the Department of Industrial and Systems Engineering at the University of Southern California. She was awarded the Humboldt Research Award 2025, as well as a KIT International Excellence Fellowship 2025 and is a distinguished guest of KIT Center MathSEE and KCDS.